A survey and tutorial by Daryle Niedermayer - covers material on Bayesian inference in general and selected industrial applications of graphical models http://www.niedermayer.ca/papers/bayesian/
Software, publications, teaching material, and news on belief revision - from the Business and Technology Research Laboratory at the University of Newcastle, Australia http://beliefrevision.org
Paper about combining probabilistic models and human-intuitive approaches to modeling uncertainty by generating qualitative verbal explanations of reasoning. http://www.pitt.edu/~druzdzel/abstracts/aisb.html
Slides and additional notes from a tutorial by Nir Friedman and Daphne Koller on automated learning of belief networks, given at the Neural Information Processing Systems (NIPS-2001) conference http://www.cs.huji.ac.il/~nirf/Nips01-Tutorial/
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